Skyline Bankshares (SLBK) Weighted Average Shares Outstanding (2015 - 2026)
Skyline Bankshares' Weighted Average Shares Outstanding was 5.62 million in Q3 2026, up 0.6% from 5.58 million a year earlier and unchanged from the prior quarter.
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Analysis
Skyline Bankshares (SLBK) Weighted Average Shares Outstanding (2015 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding at Skyline Bankshares came in at 5.59 million, up 0.5% from FY2024.
- Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding was 5.56 million in FY2024 (-0.4%), 5.58 million in FY2023 (-0.2%), 5.59 million in FY2022 (-6.5%) and 5.98 million in FY2021 (-1.6%).
- Quarterly Weighted Average Shares Outstanding has moved between 5.55 million (Q2 2024) and 5.98 million (Q4 2021) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding has increased for seven straight quarters, with growth averaging 0.4% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding over five years was Q3 2026 (growth of 0.6%); the worst was Q1 2022 (a decline of 7.1%).
- Per Business Quant data, SLBK's Weighted Average Shares Outstanding in the three quarters before Q3 2026 was 5.62 million (Q2 2026), 5.62 million (Q1 2026) and 5.59 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Skyline Bankshares | 155.99 Mn | 155.99 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.62 Mn |
| Jun 30, 2026 | 5.62 Mn |
| Mar 31, 2026 | 5.62 Mn |
| Dec 31, 2025 | 5.59 Mn |
| Sep 30, 2025 | 5.58 Mn |
| Jun 30, 2025 | 5.58 Mn |
| Mar 31, 2025 | 5.58 Mn |
| Dec 31, 2024 | 5.56 Mn |
| Sep 30, 2024 | 5.55 Mn |
| Jun 30, 2024 | 5.55 Mn |
| Mar 31, 2024 | 5.56 Mn |
| Dec 31, 2023 | 5.58 Mn |
| Sep 30, 2023 | 5.57 Mn |
| Jun 30, 2023 | 5.59 Mn |
| Mar 31, 2023 | 5.60 Mn |
| Dec 31, 2022 | 5.59 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 5.62 Mn |
| Mar 31, 2022 | 5.61 Mn |
| Dec 31, 2021 | 5.98 Mn |
API Access
Skyline Bankshares Weighted Average Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=SLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "ticker": "SLBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=weighted-average-shares-outstanding&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();